Exploring Data in Virtual Reality: Comparisons with 2D Data Visualizations

Patrick Millais, Simon Jones, Ryan Kelly

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)
200 Downloads (Pure)

Abstract

Virtual Reality (VR) has often been discussed as a promising medium for immersive data visualization and exploration. However, few studies have evaluated users’ open-ended exploration of multi-dimensional datasets using VR and compared the results with that of traditional (2D) visualizations. Using a workload- and insight-based evaluation methodology, we conducted a user study to perform such a comparison. We find that there is no overall task-workload di↵erence between traditional visualizations and visualizations in VR, but there are di↵erences in the accuracy and depth of insights that users gain. Our results also suggest that users feel more satisfied and successful when using VR data exploration tools, thus demonstrating the potential of VR as an engaging medium for visual data analytics.
Original languageEnglish
Title of host publicationCHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
Volume2018-April
ISBN (Electronic)9781450356206, 9781450356213
DOIs
Publication statusPublished - 21 Apr 2018

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Keywords

  • Data Dashboards
  • Data Visualization
  • Virtual Reality

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

Cite this

Millais, P., Jones, S., & Kelly, R. (2018). Exploring Data in Virtual Reality: Comparisons with 2D Data Visualizations. In CHI 2018 - Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems (Vol. 2018-April). [LBW007] Association for Computing Machinery. https://doi.org/10.1145/3170427.3188537